Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1837014(2024)

Low-Light Image Stitching Method Based on Improved SURF

Yu Ji1,2, Peng Ding2, Nan Liu2, Zhanqiang Ru2, Zhenyao Li2, Suzhen Cheng1,2, Zhengguang Wang1,2, Jingwu Gong1,2, Zhizhen Yin2, Fei Wu2, and Helun Song1,2、*
Author Affiliations
  • 1School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei 230026, Anhui,China
  • 2Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, Jiangsu, China
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    References(22)

    [9] Fan P Q, Wu C, Yang R Y et al. An improved SURF infrared image mosaic method based on BRISK[J]. Infrared Technology, 40, 27(2018).

    [11] Cui J G, Sun C K, Li Y P et al. An improved algorithm for fast image matching based on SURF[J]. Chinese Journal of Scientific Instrument, 43, 47-53(2022).

    [17] Jang C Y, Hyun J, Cho S et al. Adaptive selection of weights in multi-scale retinex using illumination and object edges[C], 1154-1158(2012).

    [21] Rahman Z, Jobson D J, Woodell G A. Multi-scale retinex for color image enhancement[C], 1003-1006(1996).

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    Yu Ji, Peng Ding, Nan Liu, Zhanqiang Ru, Zhenyao Li, Suzhen Cheng, Zhengguang Wang, Jingwu Gong, Zhizhen Yin, Fei Wu, Helun Song. Low-Light Image Stitching Method Based on Improved SURF[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1837014

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    Paper Information

    Category: Digital Image Processing

    Received: Jan. 8, 2024

    Accepted: Feb. 18, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Helun Song (hlsong2008@sinano.ac.cn)

    DOI:10.3788/LOP240470

    CSTR:32186.14.LOP240470

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